docs: def errorbar(hists,
               xerr=True, yerr=True,
               xpadding=0, ypadding=.1,
               xerror_in_padding=True,
               yerror_in_padding=True,
               emptybins=True,
               snap=True,
               axes=None,
               **kwargs):
      """
      Make a matplotlib errorbar plot from a ROOT histogram or graph
      or list of histograms and graphs.
  
      Parameters
      ----------
  
      hists : Hist, Graph or list of Hist and Graph
          The histogram(s) and/or Graph(s) to be plotted
  
      xerr : bool, optional (default=True)
          If True, x error bars will be displayed.
  
      yerr : bool or string, optional (default=True)
          If False, no y errors are displayed.  If True, an individual y
          error will be displayed for each hist in the stack.  If 'linear' or
          'quadratic', a single error bar will be displayed with either the
          linear or quadratic sum of the individual errors.
  
      xpadding : float or 2-tuple of floats, optional (default=0)
          Padding to add on the left and right sides of the plot as a fraction of
          the axes width after the padding has been added. Specify unique left
          and right padding with a 2-tuple.
  
      ypadding : float or 2-tuple of floats, optional (default=.1)
          Padding to add on the top and bottom of the plot as a fraction of
          the axes height after the padding has been added. Specify unique top
          and bottom padding with a 2-tuple.
  
      xerror_in_padding : bool, optional (default=True)
          If True then make the padding inclusive of the x errors otherwise
          only pad around the x values.
  
      yerror_in_padding : bool, optional (default=True)
          If True then make the padding inclusive of the y errors otherwise
          only pad around the y values.
  
      emptybins : bool, optional (default=True)
          If True (the default) then plot bins with zero content otherwise only
          show bins with nonzero content.
  
      snap : bool, optional (default=True)
          If True (the default) then the origin is an implicit lower bound of the
          histogram unless the histogram has both positive and negative bins.
  
      axes : matplotlib Axes instance, optional (default=None)
          The axes to plot on. If None then use the global current axes.
  
      kwargs : additional keyword arguments, optional
          All additional keyword arguments are passed to matplotlib's errorbar
          function.
  
      Returns
      -------
  
      The return value from matplotlib's errorbar function, or list of such
      return values if a list of histograms and/or graphs was plotted.
  
      """
      if axes is None:
          axes = plt.gca()
      curr_xlim = axes.get_xlim()
      curr_ylim = axes.get_ylim()
      was_empty = not axes.has_data()
      if isinstance(hists, (_Hist, _Graph1DBase)):
          # This is a single plottable object.
          returns = _errorbar(
              hists, xerr, yerr,
              axes=axes, emptybins=emptybins, **kwargs)
          _set_bounds(hists, axes=axes,
                      was_empty=was_empty,
                      prev_ylim=curr_ylim,
                      xpadding=xpadding, ypadding=ypadding,
                      xerror_in_padding=xerror_in_padding,
                      yerror_in_padding=yerror_in_padding,
                      snap=snap)
      else:
          returns = []
          for h in hists:
              returns.append(errorbar(
                  h, xerr=xerr, yerr=yerr, axes=axes,
                  xpadding=xpadding, ypadding=ypadding,
                  xerror_in_padding=xerror_in_padding,
                  yerror_in_padding=yerror_in_padding,
                  snap=snap,
                  emptybins=emptybins,
                  **kwargs))
      return returns